Triple
T8818378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Prostration |
E209837
|
entity |
| Predicate | hasVerseStyle |
P84792
|
FINISHED |
| Object | rhythmic prose |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: rhythmic prose | Statement: [The Prostration, hasVerseStyle, rhythmic prose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVerseStyle Context triple: [The Prostration, hasVerseStyle, rhythmic prose]
-
A.
hasLyricalStyle
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
B.
hasRhymeStyle
Indicates that two linguistic elements share the same pattern or style of rhyming.
-
C.
hasProseAndVerse
Indicates that something contains both prose and verse forms within it.
-
D.
hasVerseCount
Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
-
E.
hasVerseOrder
Indicates that one verse is ordered or sequenced in relation to another verse within a structured text.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600d267c81909e145e58af08e523 |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:46 p.m.